Ensemble averaging using remote sensing data to model spatiotemporal PM10 concentrations in sparsely monitored South Africa
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Date
Authors
Arowosegbe, Oluwaseyi Olalekan
Roeoesli, Martin
Kuenzli, Nino
Saucy, Apolline
Adebayo-Ojo, Temitope Christina
Schwartz, Joel
Kebalepile, Moses Mogakolodi
Jeebhay, Mohamed Fareed
Dalvie, Mohamed Aqiel
De Hoogh, Kees
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Abstract
Please read abstract in the article.
Description
DATA AVAILABILITY : Data will be made available on request.
Keywords
Ensemble averaging, Particulate matter (PM2.5), Satellite observations, Machine learning, SDG-11: Sustainable cities and communities
Sustainable Development Goals
Citation
Arowosegbe, O.O., Röösli, M., Künzli, N. et al. 2022, Ensemble averaging using remote sensing data to model spatiotemporal PM10 concentrations in sparsely monitored South Africa', Environmental Pollution, vol. 310, art. 119883, pp. 1-10, doi : 10.1016/j.envpol.2022.119883.